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Scam checker

Pastes a suspicious message, link or screenshot and highlights the phrases that look like a scam, with a plain-language reason for each.

Actively maintained

At a glanceswept Oct 26, 2026

not read yet

Use

For
people in the Netherlands and Belgium checking whether an email, SMS or WhatsApp message is a scam
Activity
Actively maintainedsite updated 5 days ago
Used for
  • check a pasted text, link or screenshot for scam signs
  • forward a suspicious email and get a verdict by mail
  • find out what to do after clicking a phishing link
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 26, 2026
  • MCP servernl.scamchecker/scamcheckerverified in the MCP registry
  • Stateanswers, 1 toolschecked 2026-10-26
  • Address to connectscamchecker.nl/mcp

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Productivityby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is Scam checker?

    Pastes a suspicious message, link or screenshot and highlights the phrases that look like a scam, with a plain-language reason for each. It is listed in the Atlas under Productivity.

  • Who is Scam checker for?

    people in the Netherlands and Belgium checking whether an email, SMS or WhatsApp message is a scam

  • Do people use Scam checker?

    Little sign of use.

  • Is Scam checker still maintained?

    Actively maintained: site updated 5 days ago.

  • What are alternatives to Scam checker?

    In Productivity, by use: Cautellus, NudgeBell, nerfWatch(), Figma, Jotform, Asana.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk